COMM 150

Methodologies in Communication Research

Description: Lecture, four hours; discussion, one hour. Requisite: Economics 41 or Statistics 10. Limited to Communication majors. Examination of quantitative and qualitative methodologies in communication research. Letter grading.

Units: 5.0
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Overall Rating 3.4
Easiness 1.2/ 5
Clarity 3.8/ 5
Workload 1.6/ 5
Helpfulness 3.4/ 5
Most Helpful Review
Research methods is certainly not the most exciting class you can take, but it's mandatory, at least for comm majors. If you have to take it, I would recommend taking it with Professor Haselton. The reading material is dry, but she did her best to provide examples and analogies to help you learn. She shared her research on relationships and applied them to the course. Evolutionary psychology is an interesting field of study, and Haselton introduces some ideas in her methods class. Besides the studies on relationships, the class discussions were best. Haselton's TA, Elizabeth, is amazing! She was always willing to help you with your research proposal paper, which is a good assignment btw, and has a million ideas to give you if you can't come up with your own. Back to Haselton though, she is extremely organized, though I don't remember the last time a professor used overheads. They are helpful because she posts them online afterwards. She lectures well and clearly, but it almost seems like she's too nice. It shouldn't take a class as long as it did to settle down. Haselton should be more assertive in that regards. And the tests. I personally thought the questions, multiple choice and short answer/essay, were completely fair. Nothing was a surprise or worded funny, but straightforward. About the class, it was somewhat strange because there were so few guys, but I suppose that is the comm student body. Also, as others have noted, Haselton is probably one of the best looking professors on campus. Man, she never had a bad hair day...ever.
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Overall Rating 2.2
Easiness 3.1/ 5
Clarity 2.4/ 5
Workload 2.9/ 5
Helpfulness 2.1/ 5
Most Helpful Review
Spring 2024 - Professor Kernell structured the class so that there were in person lectures on Tuesdays (75 minutes) and virtual lectures in place of Thursday's classes (30-45 minutes). I didn't mind this layout, as it allowed more flexibility for me to learn at my own pace. However, the virtual lectures were often clearer than the in person lectures and the professor very clearly struggled to explain concepts to students. In response, she would lead us through practice problems but even though she explained each computational step, she didn't quite explain the significance of what we were computing which in my opinion is more important for depth of understanding. A lot of my exam preparation ultimately ended up being from Youtube videos covering basic statistics concepts. Her grading scheme is split across exams, homeworks, lecture quizzes, and discussion attendance. The homeworks are graded pretty harshly and sometimes without a sufficient reason. The quizzes are easy and fact-based. The exams are mostly free response and are an accurate reflection of the content on the lecture slides. The exams are easy if you've taken Stats 10/AP stats before, but for those unfamiliar with these concepts be prepared to self-study. The final is also cumulative so make sure you refresh on pre-midterm content as she will definitely test you on it. This is a core class for comms so it is unavoidable, but not impossible to ace. You may just have to be prepared to learn the concepts on your own.
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